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《Journal of Transcluction Technology》 2003-01
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Design of Model Perceptron Based on Exponent Neuron

TIAN Guangjun\ YANG Lijun\ \ SHI Jinshan (College of Electrical Engineering, Yanshan University, Qinhuangdao Hebei 066004,P.R.China)  
With the structure of neuron perceptron and adaptive algorithm combined, an adaptive modeling perceptron based on exponential neuron is designed, for measurement of such measurands as temperature, moisture, humidity, conductivity, viscosity, etc. Simultaneously, in some sense, it can realize fusion of space-time signal. The effect of learning parameters upon adaptive performance is discussed. Simulation curves with adaptive algorithm are given, and the modeling perceptron proved to be effective and available. This modeling scheme and its mechanism can also be applied to actual measurement or control system as an intelligent unit(hardware or software) instead of rigid mathematical model by manual curve fitting.
【CateGory Index】: TP212
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【Co-citations】
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1 ZENG Xiao-ping;HE Yuan;JIAN Xin;HUANG Jie;LI Meng-ru;College of Communication Engineering,Chongqing University;;Adaptive Interference Cancellation for L-DACS1 by the Usage of High Order Statistics[J];电子学报;2016-10
2 Dai Ranpo;Su Huidan;Tao Chenyang;Guo Gepu;Ma Qingyu;Xie Yong;School of Physics and Technology,Nanjing Normal University;Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences;;Estimation Method for Ground Particulate Matter(PM)Concentrations Based on MODIS Data[J];南京师大学报(自然科学版);2016-03
3 Yang Wenge;Shen Hui;Yang Ting;Lu Weitao;The Academy of Equipment;Jiuquan Satellite Launch Center;Beijing Aerospace Control Center;;An Improved LMS Adaptive Filtering Algorithm and Its Application to Connected Elements Interferometry[J];遥测遥控;2016-05
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8 WANG Meng;ZHAO Jian-ping;ZHANG Bing-ting;College of Physics Engineering,Qufu Normal University;;A variable step size LMS algorithm based on hyperbolic secant function[J];通信技术;2016-06
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